24 citations · 136 across the 19 of their papers we have counts for
4 papers · 1 filter
Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction
Eric Chu, Deb Roy, Jacob Andreas
We present a randomized controlled trial for a model-in-the-loop regression task, with the goal of measuring the extent to which (1) good explanations of model predictions increase…
Compositional Explanations of Neurons
Jesse Mu, Jacob Andreas
We describe a procedure for explaining neurons in deep representations by identifying compositional logical concepts that closely approximate neuron behavior. Compared to prior wor…
A Survey of Reinforcement Learning Informed by Natural Language
Jelena Luketina, Nantas Nardelli, Gregory Farquhar +5
To be successful in real-world tasks, Reinforcement Learning (RL) needs to exploit the compositional, relational, and hierarchical structure of the world, and learn to transfer it…
Measuring Compositionality in Representation Learning
Jacob Andreas
Many machine learning algorithms represent input data with vector embeddings or discrete codes. When inputs exhibit compositional structure (e.g. objects built from parts or proced…